Ashwini Patil
TitleCited byYear
Disordered domains and high surface charge confer hubs with the ability to interact with multiple proteins in interaction networks
A Patil, H Nakamura
FEBS letters 580 (8), 2041-2045, 2006
2472006
Filtering high-throughput protein-protein interaction data using a combination of genomic features
A Patil, H Nakamura
BMC bioinformatics 6 (1), 100, 2005
1492005
Hub promiscuity in protein-protein interaction networks
A Patil, K Kinoshita, H Nakamura
International journal of molecular sciences 11 (4), 1930-1943, 2010
1212010
HitPredict: a database of quality assessed protein–protein interactions in nine species
A Patil, K Nakai, H Nakamura
Nucleic acids research 39 (suppl 1), D744-D749, 2011
912011
Computerized polymorphic marker identification: experimental validation and a predicted human polymorphism catalog
JW Fondon, GM Mele, RI Brezinschek, D Cummings, A Pande, J Wren, ...
Proceedings of the National Academy of Sciences 95 (13), 7514-7519, 1998
601998
Domain distribution and intrinsic disorder in hubs in the human protein–protein interaction network
A Patil, K Kinoshita, H Nakamura
Protein Science 19 (8), 1461-1468, 2010
582010
Methods for protein complex prediction and their contributions towards understanding the organization, function and dynamics of complexes
S Srihari, CH Yong, A Patil, L Wong
FEBS Letters, 2015
502015
HitPredict version 4: comprehensive reliability scoring of physical protein–protein interactions from more than 100 species
Y López, K Nakai, A Patil
Database 2015, bav117, 2015
352015
Sequence-and species-dependence of proteasomal processivity
DA Kraut, E Israeli, EK Schrader, A Patil, K Nakai, D Nanavati, T Inobe, ...
ACS chemical biology 7 (8), 1444-1453, 2012
342012
Organism-Level Analysis of Vaccination Reveals Networks of Protection across Tissues
M Kadoki, A Patil, CC Thaiss, DJ Brooks, S Pandey, D Deep, D Alvarez, ...
Cell, 2017
302017
Chemical composition is maintained in poorly conserved intrinsically disordered regions and suggests a means for their classification
HA Moesa, S Wakabayashi, K Nakai, A Patil
Mol. BioSyst. 8 (12), 3262-3273, 2012
302012
OPAL: Prediction of MoRF regions in intrinsically disordered protein sequences
R Sharma, G Raicar, T Tsunoda, A Patil, A Sharma
Bioinformatics, 2018
222018
Linking transcriptional changes over time in stimulated dendritic cells to identify gene networks activated during the innate immune response
A Patil, Y Kumagai, K Liang, Y Suzuki, K Nakai
PLoS Comput Biol 9 (11), e1003323, 2013
222013
Use of transcriptional synergy to augment sensitivity of a splicing reporter assay
N Levinson, R Hinman, A Patil, CRJ Stephenson, S Werner, GHC Woo, ...
RNA 12 (5), 925-930, 2006
202006
Evaluation of Sequence Features from Intrinsically Disordered Regions for the Estimation of Protein Function
A Sharma, A Dehzangi, J Lyons, S Imoto, S Miyano, K Nakai, A Patil
PloS one 9 (2), e89890, 2014
192014
HINT-a database of annotated protein-protein interactions and their homologs
A Patil, H Nakamura
Biophysics 1, 21-24, 2005
192005
MoRFPred-plus: Computational Identification of MoRFs in Protein Sequences using Physicochemical Properties and HMM profiles
R Sharma, M Bayarjargal, T Tsunoda, A Patil, A Sharma
Journal of Theoretical Biology, 2017
172017
Predicting MoRFs in protein sequences using HMM profiles
R Sharma, S Kumar, T Tsunoda, A Patil, A Sharma
BMC Bioinformatics 17 (19), 251, 2016
122016
Assessing the utility of gene co-expression stability in combination with correlation in the analysis of protein-protein interaction networks
A Patil, K Nakai, K Kinoshita
BMC genomics 12 (Suppl 3), S19, 2011
122011
OPAL+: Length‐Specific MoRF Prediction in Intrinsically Disordered Protein Sequences
R Sharma, A Sharma, G Raicar, T Tsunoda, A Patil
Proteomics, 1800058, 2018
92018
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Articles 1–20